A growing chorus of academic physicians, policy experts and public health specialists is harmonizing behind the idea of licensing medical GenAI models like they’re doctors or nurses.

Initiatives include radiology image reading, data analytics, remote patient monitoring, speech recognition and more. Most of the federation has adopted the standards of the artificial intelligence platform. 

More than 75% of U.S. nurses have high hopes in generative AI’s promise for improving productivity. But less than half feel prepared to use it effectively.

Those who closely follow news and views on AI risk missing out on nine other technology categories that are changing our world just as fast. Or, as Stanford Prof. Condoleezza Rice puts it, “History will judge not only what we invented but also how and why we chose to do so.”

Can you guess the (lightly disputed) champion of healthcare AI suppliers? Here’s a hint. This company caters to physicians and just this week reached a valuation of $12B. 

2026 may be the year that many if not most healthcare leaders arrive at a fork in the road to mature AI implementation. 

Just because a healthcare AI product gets loudly promoted doesn’t mean its claims are bogus. The salient question is whether or not it performs as well in a clinical setting as it did in a research lab—or in a marketer’s mind. 

Across industries, more than a third of the time saved by AI gets eaten by overstretched humans who have to clean up the technology’s sloppy work.